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Z-Score Hedging
Z-score hedging is a statistical method to manage risk by adjusting positions based on deviations from mean values in pricing, returns, or correlations.
For example, in commodity trading, a trader may hedge when a price series deviates significantly from historical averages, measured as Z-scores, to limit potential losses.
The technique combines quantitative risk management, statistical analysis, and portfolio optimization. It is widely used in algorithmic trading, market-neutral strategies, and hedging programs.
Understanding Z-score hedging enables traders and risk managers to apply rigorous, data-driven risk controls, anticipate abnormal market movements, and enhance portfolio resilience.